The paper is normally written on the same day as paper 2 and has a duration of 1 hour, with a maximummark of 30, counting for 20% of the total subject grade. Every year, it is a based on a case study or scenario that changes.
Here is the case study for the May/November 2018 exams.
The topic is Self Driving Cars and Machine Learning How to study paper 3: http://ib.compscihub.net/paper3 autonomous driving: IB material
Learn MIT 6.S094- Deep Learning and Self-Driving Cars Course!
Course website: https://selfdrivingcars.mit.edu/ ,all slides are videos can be downloaded from this page
There are 5 lectures, each about 90 minutes.
Stage 4: summarize all the key points in the case study material
To formulate your own case study booklet + webpage
Then we are going to review all materials to develop an online high school self driving course by ourselves.
Paper 3 – May/Nov 2018
About paper 3
The paper is normally written on the same day as paper 2 and has a duration of 1 hour, with a maximum mark of 30, counting for 20% of the total subject grade. Every year, it is a based on a case study or scenario that changes.Here is the case study for the May/November 2018 exams.
The topic is Self Driving Cars and Machine Learning
How to study paper 3: http://ib.compscihub.net/paper3
autonomous driving: IB material
Please download our lesson materials to your own computer!
http://pan.rdfz.cn:80/#/link/67792FE072EEF80505C04AD8440C69CF 有效期限截止：2017-12-16
Class assignment: Overview/ Survey of AI as a whole picture 20171122
Our paper 3 course are going to be in 4 stages:
Stage 1: study MIT course
Learn MIT 6.S094- Deep Learning and Self-Driving Cars Course!Course website: https://selfdrivingcars.mit.edu/ ,all slides are videos can be downloaded from this page
There are 5 lectures, each about 90 minutes.
Lecture 1: learning summary deadline 20171120
Lecture 2: learning summary deadline 20171206
Lecture 3: learning summary
Lecture 4: learning summary
Lecture 5: learning summary
Stage 2: practical hands-on projects
During course learning, you will do the following 2 projects:Deep Traffic:
Tutorial: https://selfdrivingcars.mit.edu/deeptraffic/
project page: https://selfdrivingcars.mit.edu/deeptrafficjs/ create and evaluate your own NN
DeepTraffic: learning summary + project submission
DeepTesla:
Tutorial: https://selfdrivingcars.mit.edu/deeptesla/
project page: https://selfdrivingcars.mit.edu/deepteslajs/
DeepTesla: learning summary + project submission
Stage 3: Baidu apollo auto driving platform
We are going to simulate our own self driving cars in baidu open source platform.You are going to have a contest for auto drive!
http://apollo.auto/index_cn.html
http://apollo.auto/developer_cn.html
http://mp.weixin.qq.com/s/9pdQU1L0CJwu_pjEIIg--Q
https://m.sohu.com/a/202555419_355140/?pvid=000115_3w_a
Stage 4: summarize all the key points in the case study material
To formulate your own case study booklet + webpageThen we are going to review all materials to develop an online high school self driving course by ourselves.
https://computersciencewiki.org/index.php/Template_for_student-defined_terms Template for students defined terms
challenges faced:
social issues: